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Related Concept Videos

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Related Experiment Video

Updated: Sep 11, 2025

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
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Spatial-Temporal Hotspot Management of Photovoltaic Modules Based on Fiber Bragg Grating Sensor Arrays.

Haotian Ding1, Rui Guo1, Huan Xing1

  • 1Key National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, College of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, China.

Sensors (Basel, Switzerland)
|August 14, 2025
PubMed
Summary

This study introduces a novel system using fiber Bragg grating sensors and cooling hydrogels to manage hot spots in solar panels. This innovative approach enhances solar panel performance and longevity by reducing temperatures and improving power generation efficiency.

Keywords:
cooling hydrogelsfiber Bragg grating temperature sensorhot spot managementmachine learningphotovoltaic module

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Area of Science:

  • Renewable Energy Engineering
  • Materials Science
  • Artificial Intelligence in Energy Systems

Background:

  • Solar energy is crucial for addressing the energy crisis, but photovoltaic (PV) modules suffer from performance degradation and safety issues due to harsh environments.
  • The hot spot effect is a significant factor that diminishes PV module power generation and shortens their operational lifespan.
  • Effective management of PV module temperature is essential for maintaining efficiency and ensuring long-term reliability.

Purpose of the Study:

  • To develop and validate a spatial-temporal hot spot management system for photovoltaic modules.
  • To investigate the efficacy of fiber Bragg grating (FBG) temperature sensor arrays and cooling hydrogels in mitigating the hot spot effect.
  • To enhance the power generation efficiency and lifetime of PV modules through intelligent thermal management.

Main Methods:

  • Finite element simulations and laboratory experiments were conducted to assess the cooling capabilities of hydrogels and their impact on photoelectric conversion efficiency.
  • Field tests involved deploying FBG sensor arrays to monitor PV module surface temperatures in real-world conditions.
  • An optimized artificial neural network (ANN) classifier was developed to accurately detect hot spots based on FBG temperature data.

Main Results:

  • Hydrogels demonstrated a superior cooling effect, and simulations/experiments confirmed improvements in photoelectric conversion efficiency.
  • The ANN-based classifier achieved a high accuracy of 99.1% in recognizing hot spots from FBG sensor data.
  • Implementation of cooling hydrogels reduced PV module temperature by 7.7 °C, leading to a 5.6% increase in power generation efficiency.

Conclusions:

  • The integrated system of FBG sensors and cooling hydrogels effectively manages spatial-temporal hot spots in PV modules.
  • The proposed strategy provides a reliable method for predictive maintenance of PV power plants, addressing hot spot-related issues.
  • This research offers valuable insights for improving the performance, safety, and longevity of solar energy systems.